Eva Kabrna

656 total citations
13 papers, 508 citations indexed

About

Eva Kabrna is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Eva Kabrna has authored 13 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Eva Kabrna's work include Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Retinoids in leukemia and cellular processes (2 papers). Eva Kabrna is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Retinoids in leukemia and cellular processes (2 papers). Eva Kabrna collaborates with scholars based in Austria, Slovakia and United States. Eva Kabrna's co-authors include Klaus Geißler, Klaus Lechner, Petra Stohlawetz, Nicole Hergovich, Edith Lackner, Larisa Dzirlo, Christa Mensik, Hans Georg Eichler, Bernd Jilma and Marietta Kollars and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

Eva Kabrna

13 papers receiving 496 citations

Peers

Eva Kabrna
R Cimino Italy
Eva Kabrna
Citations per year, relative to Eva Kabrna Eva Kabrna (= 1×) peers R Cimino

Countries citing papers authored by Eva Kabrna

Since Specialization
Citations

This map shows the geographic impact of Eva Kabrna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eva Kabrna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Kabrna more than expected).

Fields of papers citing papers by Eva Kabrna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Kabrna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eva Kabrna. The network helps show where Eva Kabrna may publish in the future.

Co-authorship network of co-authors of Eva Kabrna

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Kabrna. A scholar is included among the top collaborators of Eva Kabrna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Kabrna. Eva Kabrna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Sagaster, Verena, Leo B hler, A. Berer, et al.. (2003). High spontaneous colony growth in chronic myelomonocytic leukemia correlates with increased disease activity and is a novel prognostic factor for predicting short survival. Annals of Hematology. 83(1). 9–13. 14 indexed citations
3.
Öhler, Leopold, A. Berer, Daniel Aletaha, et al.. (2001). Cytogenetic risk groups in acute myeloblastic leukaemia differ greatly in their semi‐solid colony growth. British Journal of Haematology. 113(1). 120–125. 10 indexed citations
4.
Wagner, Thomas, D. W. M. Schwartz, M. Winter, et al.. (2001). Kinetics of CFU‐Mk after automated plateletpheresis. Vox Sanguinis. 81(3). 167–171. 9 indexed citations
5.
Stohlawetz, Petra, Larisa Dzirlo, Nicole Hergovich, et al.. (2000). Effects of erythropoietin on platelet reactivity and thrombopoiesis in humans. Blood. 95(9). 2983–2989. 220 indexed citations
6.
Geißler, Klaus, Eva Kabrna, Ilse Schwarzinger, et al.. (1998). Recombinant human megakaryocyte growth and development factor increases levels of circulating haemopoietic progenitor cells post chemotherapy in patients with acute myeloid leukaemia. British Journal of Haematology. 102(2). 535–543. 13 indexed citations
7.
Geißler, Klaus, Leopold Öhler, Manuela Födinger, et al.. (1998). Interleukin-10 Inhibits Erythropoietin-Independent Growth of Erythroid Bursts in Patients With Polycythemia Vera. Blood. 92(6). 1967–1972. 26 indexed citations
8.
Geißler, Klaus, Leopold Öhler, Manuela Födinger, et al.. (1998). Interleukin-10 Inhibits Erythropoietin-Independent Growth of Erythroid Bursts in Patients With Polycythemia Vera. Blood. 92(6). 1967–1972. 1 indexed citations
9.
Geißler, Klaus, Leopold Öhler, Manuela Födinger, et al.. (1996). Interleukin 10 inhibits growth and granulocyte/macrophage colony-stimulating factor production in chronic myelomonocytic leukemia cells.. The Journal of Experimental Medicine. 184(4). 1377–1384. 49 indexed citations
10.
Oehler, Leopold, Elisabeth Reiter, Josef Friedl, et al.. (1994). Effective stimulation of neutropoiesis with rh G-CSF in dyskeratosis congenita: a case report. Annals of Hematology. 69(6). 325–327. 8 indexed citations
11.
Agis, Hermine, Martin Willheim, Wolfgang R. Sperr, et al.. (1993). Monocytes do not make mast cells when cultured in the presence of SCF. Characterization of the circulating mast cell progenitor as a c- kit +, CD34+, Ly-, CD14-, CD17-, colony-forming cell.. The Journal of Immunology. 151(8). 4221–4227. 106 indexed citations
12.
Geißler, Klaus, Felix Stockenhuber, Eva Kabrna, et al.. (1989). Recombinant human erythropoietin and hematopoietic progenitor cells in vivo [letter]. Blood. 73(8). 2229–2229. 23 indexed citations
13.
Hinterberger, W, et al.. (1985). Aplastic Anemia: Assessment of Myeloid Progenitor Cells in the Bone Marrow and Blood Provides Prognostic Information. Acta Haematologica. 73(1). 1–5. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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